Results 41 to 50 of about 22,537,611 (357)

A Novel Approach for RPL Assessment Based on the Objective Function and Trickle Optimizations

open access: yesWireless Communications and Mobile Computing, 2019
The ROLL working group proposed the RPL (IPv6 routing protocol for low-power and lossy networks) to respond to the requirements of low-power and lossy networks (LLNs).
Hanane Lamaazi, N. Benamar
semanticscholar   +1 more source

Importance Sampling for Objetive Funtion Estimations in Neural Detector Traing Driven by Genetic Algorithms [PDF]

open access: yes, 2010
To train Neural Networks (NNs) in a supervised way, estimations of an objective function must be carried out. The value of this function decreases as the training progresses and so, the number of test observations necessary for an accurate estimation has
C Andrieu   +29 more
core   +2 more sources

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar   +8 more
wiley   +1 more source

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis   +9 more
wiley   +1 more source

Methods That Optimize Multi-Objective Problems: A Survey and Experimental Evaluation

open access: yesIEEE Access, 2020
Most current multi-optimization survey papers classify methods into broad objective categories and do not draw clear boundaries between the specific techniques employed by these methods.
Kamal Taha
doaj   +1 more source

Improving the objective function in minimum error rate training [PDF]

open access: yes, 2009
In Minimum Error Rate Training (MERT), the parameters of an SMT system are tuned on a certain evaluation metric to improve translation quality. In this paper, we present empirical results in which parameters tuned on one metric (e.g.
He, Yifan, Way, Andy
core   +2 more sources

Pazopanib Combined With Vincristine and Irinotecan in Relapsed Wilms Tumor: Encouraging Outcomes in a Heavily Pretreated Pediatric Cohort

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale   +6 more
wiley   +1 more source

The problems of optimal design in the automotive industry

open access: yesTransport, 2013
The paper considers the general problems of optimization of parameters of a vehicle at the design stage. The approaches to the solution of the task are set out.
Ivan Dyakov
doaj   +1 more source

Optimizing the process of changing spacecraft orbital parameters by using a spinning electrodynamic tether sytem

open access: yesВестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, 2020
The paper considers parametric optimization of the process of changing orbital parameters by using a spinning electrodynamic tether system. Changes in the semi-major axis and eccentricity are taken as the two major goals, and two control laws are ...
Hongshi Lu   +2 more
doaj   +1 more source

Variable metric inexact line-search based methods for nonsmooth optimization [PDF]

open access: yes, 2015
We develop a new proximal-gradient method for minimizing the sum of a differentiable, possibly nonconvex, function plus a convex, possibly non differentiable, function.
Bonettini, Silvia   +3 more
core   +2 more sources

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